A study of fuzzy control with ant colony algorithm used in mobile robot for shortest path planning and obstacle avoidance
- 16 November 2016
- journal article
- research article
- Published by Springer Science and Business Media LLC in Microsystem Technologies
- Vol. 24 (1), 125-135
- https://doi.org/10.1007/s00542-016-3192-9
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Particle swarm optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robotsNeurocomputing, 2013
- The Global Trajectory Programming of Robot Based on Adaptive Ant Colony AlgorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- A hybrid real coded genetic algorithm – Pattern search approach for selective harmonic elimination of PWM AC/AC voltage controllerInternational Journal of Electrical Power & Energy Systems, 2013
- Robot path planning in uncertain environment using multi-objective particle swarm optimizationNeurocomputing, 2012
- Optimal extraction of solar cell parameters using pattern searchRenewable Energy, 2012
- A modified ant colony system for solving the travelling salesman problem with time windowsMathematical and Computer Modelling, 2007
- Ant colony system: a cooperative learning approach to the traveling salesman problemIEEE Transactions on Evolutionary Computation, 1997
- Fuzzy setsInformation and Control, 1965
- The Traveling-Salesman ProblemOperations Research, 1956